The 23rd European Conference on Evolutionary Computation in Combinatorial Optimisation is a multidisciplinary conference that brings together researchers working on applications and theory of evolutionary computation methods and other metaheuristics for solving difficult combinatorial optimisation problems appearing in various industrial, economic, and scientific domains.

Successfully solved problems include, but are not limited to, multi-objective, uncertain, dynamic and stochastic problems in the context of scheduling, timetabling, network design, transportation and distribution, vehicle routing, stringology, graphs, satisfiability, energy optimisation, cutting, packing, planning and search-based software engineering.

The EvoCOP 2023 conference will be held together with EuroGP (the 26th European Conference on Genetic Programming), EvoMUSART (the 12th European conference on evolutionary and biologically inspired music, sound, art and design) and EvoApplications (the 26th European Conference on the Applications of Evolutionary Computation), in a joint event collectively known as EvoStar (Evo*).

Accepted papers will be published by Springer Nature in the Lecture Notes in Computer Science series. Previous proceedings can be found in the EvoCOP Conference Proceedings in SpringerLink.

Download the CFP in PDF.

Conference Chairs

  • Leslie Pérez-Cáceres
    Pontificia Universidad Católica de Valparaíso, Chile
    leslie.perez(at)pucv.cl
  • Thomas Stützle
    Université Libre de Bruxelles, Belgium
    stuetzle(at)ulb.ac.be

Areas of Interest and Contributions

EvoCOP welcomes submissions in all experimental and theoretical aspects of evolutionary computation and other metaheuristics to combinatorial optimisation problems, including (but not limited to) the following areas:

  • Applications of metaheuristics to combinatorial optimization problems
  • Theoretical developments
  • Neighbourhoods and efficient algorithms for searching them
  • Variation operators for stochastic search methods
  • Constraint-handling techniques
  • Parallelisation and grid computing
  • Search space and landscape analyses
  • Comparisons between different (also exact) methods
  • Automatic algorithm configuration and design

Prominent examples of metaheuristics include (but are not limited to):

  • Evolutionary algorithms
  • Estimation of distribution algorithms
  • Swarm intelligence methods such as ant colony and particle swarm optimisation
  • Artificial immune systems
  • Local search methods such as simulated annealing, tabu search, variable neighbourhood search, iterated local search, scatter search and path relinking
  • Hybrid methods such as memetic algorithms
  • Matheuristics (hybrids of exact and heuristic methods)
  • Hyper-heuristics and autonomous search
  • Surrogate-model-based methods

Notice that, by tradition, continuous/numerical optimisation is *not* part of the topics of interest of EvoCOP. Interested authors might consider submitting to other EvoStar conferences such as EvoApplications.

Submission Details

Paper submissions must be original and not published elsewhere. The submissions will be peer reviewed by members of the program committee. The reviewing process will be double-blind, please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format.

Page limit: 16 pages

Submission link: TBD

The authors of accepted papers will have to improve their paper on the The authors of accepted papers will have to improve their paper on the basis of the reviewers’ comments and will be asked to send a camera ready version of their manuscripts (notifications will be sent on 18 January, 2023 and the camera-ready deadline will be on 1 February, 2023). At least one author of each accepted work has to register for the conference not later than 27 February 2023, attend the conference and present the work.